Pimco Income Fund Earnings Per Share

PONCX Fund  USD 10.57  0.01  0.09%   
Pimco Income Fund fundamentals help investors to digest information that contributes to Pimco Income's financial success or failures. It also enables traders to predict the movement of Pimco Mutual Fund. The fundamental analysis module provides a way to measure Pimco Income's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Pimco Income mutual fund.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Pimco Income Fund Mutual Fund Earnings Per Share Analysis

Pimco Income's Earnings per Share (EPS) denotes the portion of a company's earnings that is allocated to each share of common stock. To calculate Earnings per Share investors will need to take a company's net income, subtract any dividends for preferred stock, and divide it by the number of average outstanding shares. EPS is usually presented in two different ways: basic and diluted. Fully diluted Earnings per Share takes into account effects of warrants, options, and convertible securities and is generally viewed by analysts as a more accurate measure.

Earnings per Share

 = 

Earnings

Average Shares

More About Earnings Per Share | All Equity Analysis
Earnings per Share is one of the most critical measures of the firm's current share price and is used by investors to determine the overall company profitability, especially when compared to the EPS of similar companies.
Competition

According to the company disclosure, Pimco Income Fund has an Earnings Per Share of 0.0 times. This indicator is about the same for the PIMCO average (which is currently at 0.0) family and about the same as Multisector Bond (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).

Did you try this?

Run Bond Analysis Now

   

Bond Analysis

Evaluate and analyze corporate bonds as a potential investment for your portfolios.
All  Next Launch Module

Pimco Fundamentals

About Pimco Income Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Pimco Income Fund's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Pimco Income using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Pimco Income Fund based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Pimco Mutual Fund

Pimco Income financial ratios help investors to determine whether Pimco Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Pimco with respect to the benefits of owning Pimco Income security.
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like